Pravin D. Potdar

62 total papers · 3.1k total citations
36 papers, 2.3k citations indexed

About

Pravin D. Potdar is a scholar working on Molecular Biology, Surgery and Biomaterials. According to data from OpenAlex, Pravin D. Potdar has authored 36 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Surgery and 12 papers in Biomaterials. Recurrent topics in Pravin D. Potdar's work include Electrospun Nanofibers in Biomedical Applications (10 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Mesenchymal stem cell research (7 papers). Pravin D. Potdar is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (10 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Mesenchymal stem cell research (7 papers). Pravin D. Potdar collaborates with scholars based in India, United States and Taiwan. Pravin D. Potdar's co-authors include Narayan Chandra Mishra, Amit Kumar Dinda, Chia‐Fu Chou, Bharat B. Aggarwal, Sneh Gautam, Chhavi Sharma, Bharti Bisht, Aritraa Lahiri, Navneet Singh and Purvish M. Parikh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Journal of Materials Science.

In The Last Decade

Pravin D. Potdar

35 papers receiving 2.2k citations

Hit Papers

Lung cancer immunotherapy... 2023 2026 2024 2023 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pravin D. Potdar 688 624 618 346 331 36 2.3k
Ann L. Daugherty 622 0.9× 425 0.7× 1.1k 1.8× 202 0.6× 425 1.3× 29 2.6k
Hany E. Marei 628 0.9× 334 0.5× 790 1.3× 211 0.6× 299 0.9× 47 2.1k
Yunyun Xu 466 0.7× 378 0.6× 928 1.5× 507 1.5× 264 0.8× 77 2.6k
Wenying Wei 838 1.2× 656 1.1× 783 1.3× 143 0.4× 355 1.1× 64 3.0k
Yongchuan Deng 485 0.7× 492 0.8× 905 1.5× 491 1.4× 192 0.6× 53 2.4k
Yoshio Sawasaki 462 0.7× 368 0.6× 828 1.3× 163 0.5× 431 1.3× 50 2.2k
Sicheng Wang 823 1.2× 375 0.6× 1.0k 1.7× 251 0.7× 358 1.1× 62 2.7k
Mehdi Dadashpour 689 1.0× 909 1.5× 1.3k 2.1× 296 0.9× 162 0.5× 78 3.2k
Shima Tavakol 810 1.2× 826 1.3× 1.1k 1.7× 160 0.5× 320 1.0× 83 2.9k
Rene Schloss 535 0.8× 368 0.6× 723 1.2× 217 0.6× 503 1.5× 58 2.5k

Countries citing papers authored by Pravin D. Potdar

Since Specialization
Citations

This map shows the geographic impact of Pravin D. Potdar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pravin D. Potdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pravin D. Potdar more than expected).

Fields of papers citing papers by Pravin D. Potdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pravin D. Potdar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pravin D. Potdar. The network helps show where Pravin D. Potdar may publish in the future.

Co-authorship network of co-authors of Pravin D. Potdar

This figure shows the co-authorship network connecting the top 25 collaborators of Pravin D. Potdar. A scholar is included among the top collaborators of Pravin D. Potdar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pravin D. Potdar. Pravin D. Potdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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